Ashutosh Tiwari's starred repositories
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
android-best-practices
Do's and Don'ts for Android development, by Futurice developers
ML-Roadmap-for-2022
A curated list of Machine learning videos, links, projects and datasets to help you conquer the ML landscape in 6 months
Real-time-ML-Project
A curated list of applied machine learning and data science notebooks and libraries across different industries.
Machine-Learning-Web-Apps
Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)
Coding-Ninjas-Competitive-Programming
Solutions to all the questions I solved during the Competitive programming course with Coding Ninjas.
Deep-Learning-Projects
This repository contains all the deep learning projects done as tutorial
Machine-Learning-Projects
Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM
zero-shot-learning
Implementation of Zero-Shot Learning algorithm using Word2Vecs as class embeddings
HeartHealthPrediction
The major reason for the death in worldwide is the heart disease in high and low developed countries. The data scientist uses distinctive machine learning techniques for modeling health diseases by using authentic dataset efficiently and accurately. The medical analysts are needy for the models or systems to predict the disease in patients before the strike. High cholesterol, unhealthy diet, harmful use of alcohol, high sugar levels, high blood pressure, and smoking are the main symptoms of chances of the heart attack in humans. Data Science is an advanced and enhanced method for the analysis and encapsulation of useful information. The attributes and variable in the dataset discover an unknown and future state of the model using prediction in machine learning. Chest pain, blood pressure, cholesterol, blood sugar, family history of heart disease, obesity, and physical inactivity are the chances that influence the possibility of heart diseases. This project emphasizes to evaluate different algorithms for the diagnosis of heart disease with better accuracies by using the patient’s data set because predictions and descriptions are fundamental objectives of machine learning. Each procedure has unique perspective for the modeling objectives. Algorithms have been implemented for the prediction of heart disease with our Heart patient data set
Cataract-Detection-and-Classification
This project aim to a build system which helps in the detection of cataract and it's type with the use of Machine Learning and OpenCv algorithms with the accuracy of 96 percent.
NLP-Projects
This Repository consists Natural Language Processing projects made by me!
CO2-Emission-by-Cars
A Machine Learning Model to predict CO2 Emissions in different type of Cars
Hepatitis-Mortality-Analysis
Predicting Hepatitis Mortality from the uci dataset (https://archive.ics.uci.edu/ml/datasets/hepatitis)
Chronic_Kidney_Disease_Prediction
I made a model which can detect if a person has Chronic Kidney Disease by inputting some data. I also made a WebApp using Heroku
predicting_survival_hepatitis
Analyze a dataset with information about liver disease patients. Creates a model to predict their survival.
pwskills-datascience
Study notes and assignments for PWSkills data science course
Linear_regression
Linear regression basics
Anime-and-Manga-Recommendation-System-Konoha
This contains the front end of konoha and machine learning model for anime recommendation system
Manga_Recommendation_System
It is a machine learning project that will recommend 10 similar Mangas of a given manga you fetch.
NTCC-Research-paper-
ntcc project on introduction to big data analytics, AI, Cloud computing, IoT on improving intelligent network and QoS
NTCC_Cassava-leaf-disease-detection
Applied transfer learning to detect Leaf diseases in Cassava leaves (total diseases: 6) with an accuracy of 98%
Disease-Mortality-Predicition
Hepatitis Mortality Predicition